Full Description
We live in a world driven by data. Yet, data alone holds no value unless we can extract meaningful insights from it. Multivariate data analysis provides the essential tools to unlock this potential.
This book offers an easy-to-understand introduction to the most important methods of multivariate data analysis. With a strong application focus, it requires only basic knowledge of mathematics and statistics. The methods are demonstrated through numerical examples and illustrated with detailed case studies. Additionally, the introductory chapter refreshes key statistical fundamentals relevant to all methods covered in the book.
For the 3rd edition, all chapters have been thoroughly reviewed and recalculated using the latest version of IBM SPSS.
Contents
Introduction to empirical data analysis
Regression analysis
Analysis of variance
Discriminant analysis
Logistic regression
Contingency analysis
Factor analysis
Cluster analysis
Conjoint analysis
The original German version is now available in its 18th edition. In 2015, this book was honored by the Federal Association of German Market and Social Researchers as "the textbook that has shaped market research and practice in German-speaking countries". A Chinese version is available in its 3rd edition. On the website www.multivariate-methods.info, the authors provide examples in Excel and R as well as additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge.
Contents
Introduction to empirical data analysis.- Regression analysis.- Analysis of variance.- Discriminant analysis.- Logistic regression.- Contingency analysis.- Factor analysis.- Cluster analysis.- Conjoint analysis.
